AI Disclosure
How AI is used here
Buyer's Leverage uses AI-assisted analysis to read your uploaded inspection report, classify findings by severity, attach planning-range repair-cost exposures, and assemble a structured negotiation play. Specific systems involved: Google Gemini for visual and structural parsing, OpenAI models for narrative summarisation, and our own deterministic rule layer for severity scoring and cost banding.
What this means for you
• AI outputs may contain errors. Treat every figure, finding, and recommendation as a starting point — not a final answer. • Repair-cost exposures are planning ranges based on national and regional contractor data, not quotes. Real quotes vary with market, season, contractor, and scope. • Severity classifications follow our published rubric but a licensed inspector, engineer, or contractor may disagree on edge cases. • Reports are educational decision-support tools — they are NOT a replacement for a licensed home inspection, structural engineering opinion, or legal advice.
What you should do
Always verify important information before making purchase, repair, or negotiation decisions: • Get a contractor or specialist quote on any high-cost finding before pricing it into your offer. • Re-read the inspector's actual narrative for context the AI may have flattened. • Consult a licensed professional for anything structural, electrical, plumbing-system, environmental (radon / mold / asbestos), or legal.
How we limit risk
We tune prompts to prefer "I don't know" over speculation, ground severity claims in the inspector's own language wherever possible, and surface confidence signals where the source narrative is ambiguous. Errors should be reported to support so we can correct them and improve the model.
Last updated
We refresh this disclosure whenever we add a new AI system, change a model version, or materially adjust how AI affects user-facing outputs.